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3rd Workshop on Context-Aware Recommender Systems
(CARS 2011)
Gediminas Adomavicius
Linas Baltrunas
Tim Hussein
University of Minnesota, USA
[email protected]
Free University of BozenBolzano, Italy
[email protected]
University of Duisburg-Essen, Germany
[email protected]
Francesco Ricci
Alexander Tuzhilin
Free University of Bozen-Bolzano, Italy
[email protected]
New York University, USA
[email protected]
ABSTRACT
for this workshop include (but are not limited to):
CARS 2011 builds upon the success of the two previous editions
held in conjunction with the 3rd and 4th ACM Conferences on
Recommender Systems in 2009 and 2010. The first CARS
Workshop was held in New York, NY, USA (2009), and
Barcelona, Spain, was the home of the second CARS Workshop
in 2010.
Categories and Subject Descriptors
H.3.3 [Information Storage and Retrieval]: Information Search
and Retrieval – information filtering, relevance feedback,
retrieval models, search process, selection process.
•
Context modeling techniques for recommender systems;
•
Context-aware
systems;
•
Data sets for context-dependent recommendations;
•
Algorithms for detecting the relevance of contextual
data;
•
Algorithms for incorporating contextual information
into recommendation process;
•
Algorithms for building explicit dependencies between
contextual features and ratings;
•
Interacting with context-aware recommender systems;
•
Novel applications for context-aware recommender
systems;
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Mobile context-aware recommender systems;
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Context-aware group recommendations;
•
Large-scale context-aware recommender systems;
•
Evaluation of context-aware recommender systems.
General Terms
Algorithms, Design, Experimentation,
Measumerment, Performance.
Human
Factors,
Keywords
Recommender systems, context-aware
information, context modeling.
systems,
contextual
1. Workshop Goals
The importance of contextual information has been recognized by
researchers and practitioners in many disciplines, including ecommerce personalization, information retrieval, ubiquitous and
mobile computing, data mining, marketing, and management.
While a substantial amount of research has already been
performed in the area of recommender systems, the vast majority
of existing approaches focuses on recommending the most
relevant items to users and does not take into account any
additional contextual information, such as time, location, weather,
or the company of other people. Therefore, this workshop aims to
bring together researchers with wide-ranging backgrounds to
identify important research questions, to exchange ideas from
different research disciplines, and, more generally, to facilitate
discussion and innovation in the area of context-aware
recommender systems (CARS). In particular, topics of interest
Copyright is held by the author/owner(s).
RecSys’11, October 23-27, 2011, Chicago, IL, USA.
user
modeling
for
recommender
Additional information about the workshop, including the
workshop dates, workshop program, workshop proceedings, and
program committee, is provided on the workshop website.1
2. Workshop Format
CARS will be organized as a full day event. After a keynote by
Xavier Amatriain (Netflix), authors of selected papers will present
their work to the workshop audience.
Depending on the number of participants, interactive elements
such as plenary discussions are planned.
1
http://cars-workshop.org